OpenEEmeter
E904617
Python software library
demand flexibility analysis tool
energy efficiency measurement tool
open-source software toolkit
OpenEEmeter is an open-source software toolkit that standardizes the measurement and verification of energy efficiency and demand flexibility impacts from building energy data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OpenEEmeter canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11100257 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenEEmeter Context triple: [LF Energy, hasProject, OpenEEmeter]
-
A.
S&P/Case-Shiller Home Price Indices
The S&P/Case-Shiller Home Price Indices are widely followed benchmarks that track changes in U.S. residential real estate prices across various regions and market segments.
-
B.
Zillow
Zillow is a major U.S.-based online real estate marketplace that provides home listings, value estimates, and related housing data to buyers, sellers, and renters.
-
C.
Affordability Drivers Index
The Affordability Drivers Index is a research tool developed by the Alliance for Affordable Internet that evaluates and ranks countries on the policies and infrastructure conditions that enable affordable internet access.
-
D.
Redfin
Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
-
E.
Place2Be
Place2Be is a UK-based children's mental health charity that provides in-school counseling and emotional support to help young people thrive.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OpenEEmeter Target entity description: OpenEEmeter is an open-source software toolkit that standardizes the measurement and verification of energy efficiency and demand flexibility impacts from building energy data.
-
A.
S&P/Case-Shiller Home Price Indices
The S&P/Case-Shiller Home Price Indices are widely followed benchmarks that track changes in U.S. residential real estate prices across various regions and market segments.
-
B.
Zillow
Zillow is a major U.S.-based online real estate marketplace that provides home listings, value estimates, and related housing data to buyers, sellers, and renters.
-
C.
Affordability Drivers Index
The Affordability Drivers Index is a research tool developed by the Alliance for Affordable Internet that evaluates and ranks countries on the policies and infrastructure conditions that enable affordable internet access.
-
D.
Redfin
Redfin is a technology-powered real estate brokerage and listings platform that enables users to buy, sell, and search for homes online.
-
E.
Place2Be
Place2Be is a UK-based children's mental health charity that provides in-school counseling and emotional support to help young people thrive.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Python software library
ⓘ
demand flexibility analysis tool ⓘ energy efficiency measurement tool ⓘ open-source software toolkit ⓘ |
| category |
data analysis software
ⓘ
energy software ⓘ sustainability tools ⓘ |
| domain |
building analytics
ⓘ
demand flexibility ⓘ demand response ⓘ energy efficiency ⓘ |
| feature |
baseline model fitting
ⓘ
data quality checks ⓘ model performance metrics ⓘ outlier detection ⓘ savings calculation ⓘ uncertainty quantification ⓘ |
| hasPurpose |
standardize measurement and verification of demand flexibility impacts
ⓘ
standardize measurement and verification of energy efficiency impacts ⓘ |
| hostedOn | GitHub ⓘ |
| inputType |
building metadata
ⓘ
interval meter data ⓘ weather data ⓘ |
| isOpenSource | true ⓘ |
| license | Apache License 2.0 ⓘ |
| operatesOn | building energy data ⓘ |
| programmingLanguage | Python ⓘ |
| relatedConcept |
measurement and verification
ⓘ
normalized metered energy consumption ⓘ open-source energy analytics ⓘ |
| repositoryName | openeemeter ⓘ |
| supports |
baseline energy consumption modeling
ⓘ
metered energy savings estimation ⓘ normalized metered energy consumption methods ⓘ portfolio-level savings aggregation ⓘ post-intervention energy consumption modeling ⓘ project-level savings estimation ⓘ time-series energy data analysis ⓘ weather-normalized energy savings ⓘ |
| supportsGranularity |
building level
ⓘ
population level ⓘ portfolio level ⓘ program level ⓘ |
| usedBy |
energy service companies
ⓘ
program administrators ⓘ regulators ⓘ utilities ⓘ |
| usedFor |
demand flexibility impact estimation
ⓘ
measurement and verification of energy savings ⓘ program evaluation of energy efficiency ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: OpenEEmeter Description of subject: OpenEEmeter is an open-source software toolkit that standardizes the measurement and verification of energy efficiency and demand flexibility impacts from building energy data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.